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Analysis of Chinese consumers' willingness and behavioral change to purchase Green agri-food product online
Internet coupled with agricultural development in full swing, green agri-food product e-commerce has become a hot topic in the development of e-commerce. However, due to the seasonality, territoriality, weak quality, difference, and dispersion of agri-food products, e-commerce of green agri-food pro...
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Published in: | PloS one 2022-04, Vol.17 (4), p.e0265887-e0265887 |
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description | Internet coupled with agricultural development in full swing, green agri-food product e-commerce has become a hot topic in the development of e-commerce. However, due to the seasonality, territoriality, weak quality, difference, and dispersion of agri-food products, e-commerce of green agri-food products are facing difficulties. Based on the gap between consumers' willingness and behavior to buy green agri-food products online, this paper quantitatively studied the factors that affect consumers' behavior deviation to buy green agri-food products online. The method of constructing the binary Logistic regression model was adopted, and analysis tools such as SPSS and Excel were used for analysis, to study the influence of various factors on consumers' purchase willingness and behavior. The research conclusion shows that: consumers' gender, age, understanding of online agri-food products, and monthly disposable income have a positive impact on the consistency of consumers' behavior and willingness, while the price of green agri-food products and online purchasing frequency have a negative impact on consumers' willingness and behavior of online purchasing. The results are discussed in the context of existing studies. Suggestions and research prospects are presented at the end of the article. |
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However, due to the seasonality, territoriality, weak quality, difference, and dispersion of agri-food products, e-commerce of green agri-food products are facing difficulties. Based on the gap between consumers' willingness and behavior to buy green agri-food products online, this paper quantitatively studied the factors that affect consumers' behavior deviation to buy green agri-food products online. The method of constructing the binary Logistic regression model was adopted, and analysis tools such as SPSS and Excel were used for analysis, to study the influence of various factors on consumers' purchase willingness and behavior. The research conclusion shows that: consumers' gender, age, understanding of online agri-food products, and monthly disposable income have a positive impact on the consistency of consumers' behavior and willingness, while the price of green agri-food products and online purchasing frequency have a negative impact on consumers' willingness and behavior of online purchasing. The results are discussed in the context of existing studies. Suggestions and research prospects are presented at the end of the article.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0265887</identifier><identifier>PMID: 35385492</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agribusiness ; Agricultural development ; Agricultural production ; Analysis ; Attitudes ; Behavior ; Biology and Life Sciences ; China ; Cognition & reasoning ; Cold storage ; Commerce ; Computer and Information Sciences ; Consumer Behavior ; Consumers ; Decision making ; Disposable income ; Earth Sciences ; Economics ; Electronic commerce ; Food ; Food products ; Internet ; Logistic Models ; Medicine and Health Sciences ; Natural & organic foods ; Online sales ; Online shopping ; People and Places ; Perceptions ; Psychological aspects ; Purchasing ; Regression models ; Seasonal variations ; Social Sciences ; Territorial behavior ; Willingness to pay</subject><ispartof>PloS one, 2022-04, Vol.17 (4), p.e0265887-e0265887</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Ma et al. 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However, due to the seasonality, territoriality, weak quality, difference, and dispersion of agri-food products, e-commerce of green agri-food products are facing difficulties. Based on the gap between consumers' willingness and behavior to buy green agri-food products online, this paper quantitatively studied the factors that affect consumers' behavior deviation to buy green agri-food products online. The method of constructing the binary Logistic regression model was adopted, and analysis tools such as SPSS and Excel were used for analysis, to study the influence of various factors on consumers' purchase willingness and behavior. 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One</addtitle><date>2022-04-06</date><risdate>2022</risdate><volume>17</volume><issue>4</issue><spage>e0265887</spage><epage>e0265887</epage><pages>e0265887-e0265887</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Internet coupled with agricultural development in full swing, green agri-food product e-commerce has become a hot topic in the development of e-commerce. 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subjects | Agribusiness Agricultural development Agricultural production Analysis Attitudes Behavior Biology and Life Sciences China Cognition & reasoning Cold storage Commerce Computer and Information Sciences Consumer Behavior Consumers Decision making Disposable income Earth Sciences Economics Electronic commerce Food Food products Internet Logistic Models Medicine and Health Sciences Natural & organic foods Online sales Online shopping People and Places Perceptions Psychological aspects Purchasing Regression models Seasonal variations Social Sciences Territorial behavior Willingness to pay |
title | Analysis of Chinese consumers' willingness and behavioral change to purchase Green agri-food product online |
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